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Ai Accelerator Jobs (NOW HIRING)

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

DensityAI is a company focused on AI accelerators, and they are seeking a Compiler Engineer to own MLIR dialect design and lowering passes for their AI accelerator. The role involves working with ...

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How much do ai accelerator jobs pay per year?

As of Jun 7, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI Accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What are AI Accelerators?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.
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Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in the United States as of May 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.
Solutions Architect, Scaled Operations AI Accelerator Team

Solutions Architect, Scaled Operations AI Accelerator Team

Meta

Austin, TX • Remote

$123K/yr

Full-time

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities. Meta is seeking a highly skilled Automation Solutions Architect to join the Scaled Operations AI Accelerator Team. This small, entrepreneurial team is responsible for designing, developing, and deploying AI-powered automation solutions that transform operational processes at scale. As an Automation Solutions Architect, you will play a critical role in assessing and optimizing processes, leading technical design, and driving system implementation to deliver measurable impact across Scaled Operations.
Solutions Architect, Scaled Operations AI Accelerator Team Responsibilities:
  • Analyze, map, and redesign internal operational workflows to identify pain points and opportunities for AI-driven automation
  • Collaborate with process owners and cross-functional teams to optimize processes and ensure successful automation outcomes
  • Architect end-to-end automation solutions, ensuring technical scalability, robustness, and compliance with Meta standards
  • Manage complex projects, including requirements gathering, timeline management, and deliverable oversight
  • Champion effective change management, developing and executing strategies to support employees and teams through transitions resulting from automation
  • Drive cross-functional engagement with product managers, engineers, business stakeholders, and external partners to deliver impactful solutions
  • Communicate technical concepts and project status clearly to both technical and non-technical audiences
  • Stay current with AI/ML advancements and experiment with new tools and approaches to foster innovation and continuous improvement
  • Develop playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
  • Manage contract worker or vendor relationships to support technical design development and implementation
  • Track, analyze, and report on key metrics and business impact of automation initiatives

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 8+ years of experience in systems architecture and solution design
  • 6+ years of experience in process analysis or business operations
  • Proven experience with AI/ML or automation projects, including end-to-end solution delivery
  • Expertise in API integration and automation frameworks
  • Demonstrated ability to deliver technical documentation and communicate technical requirements
  • Demonstrated skills in program management, including managing complex projects and cross-functional deliverables
  • Experience supporting change management and stakeholder engagement

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical experience
  • Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
  • Familiarity with Scaled Operations processes and FTE workflows
  • Experience developing playbooks, reusable templates, and best practices for automation at scale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$123,000/year to $179,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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